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Quantized output feedback control of nonlinear semi-Markovian jump systems

  • Fanbiao Li
  • , Peng Shi*
  • , Ligang Wu
  • *Corresponding author for this work
  • Central South University
  • Victoria University
  • University of Adelaide

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter considers the quantized output feedback control problem for a class of S-MJS with repeated scalar nonlinearities. A sufficient condition for the S-MJS is developed. This condition guarantees that the corresponding closed-loop systems are stochastically stable and have a prescribed H performance. The existence conditions for full- and reduced-order dynamic output feedback controllers are proposed, and the cone complementarity linearization procedure is employed to cast the controller design problem into a sequential minimization one, which can be solved efficiently with existing optimization techniques. Finally, an application to cognitive radio systems demonstrates the efficiency of the new design method developed.

Original languageEnglish
Title of host publicationStudies in Systems, Decision and Control
PublisherSpringer International Publishing
Pages83-100
Number of pages18
DOIs
StatePublished - 2017

Publication series

NameStudies in Systems, Decision and Control
Volume81
ISSN (Print)2198-4182
ISSN (Electronic)2198-4190

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